dwb2023/Transformers-Workshop-BART-Summarization

README.md

@@ -17,11 +17,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.8718
-- Rouge1: 0.181
-- Rouge2: 0.1042
-- Rougel: 0.162
-- Rougelsum: 0.1694
+- Loss: 1.8665
+- Rouge1: 0.1884
+- Rouge2: 0.1059
+- Rougel: 0.1664
+- Rougelsum: 0.1772
 
 ## Model description
 
@@ -52,14 +52,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
 |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
-| 2.6142        | 1.0   | 63   | 1.9662          | 0.1624 | 0.0915 | 0.1465 | 0.1524    |
-| 2.0572        | 2.0   | 126  | 1.8836          | 0.1824 | 0.101  | 0.161  | 0.1707    |
-| 1.7932        | 3.0   | 189  | 1.8443          | 0.1741 | 0.0961 | 0.1548 | 0.1629    |
-| 1.6415        | 4.0   | 252  | 1.8507          | 0.1856 | 0.1044 | 0.1635 | 0.1726    |
-| 1.4704        | 5.0   | 315  | 1.8498          | 0.1871 | 0.1067 | 0.1671 | 0.1749    |
-| 1.3983        | 6.0   | 378  | 1.8522          | 0.1818 | 0.1021 | 0.1614 | 0.1712    |
-| 1.2943        | 7.0   | 441  | 1.8541          | 0.1819 | 0.1009 | 0.1615 | 0.1703    |
-| 1.258         | 8.0   | 504  | 1.8718          | 0.181  | 0.1042 | 0.162  | 0.1694    |
+| 2.6095        | 1.0   | 63   | 1.9725          | 0.1592 | 0.0879 | 0.1436 | 0.1489    |
+| 2.0568        | 2.0   | 126  | 1.8743          | 0.1945 | 0.1119 | 0.1714 | 0.1827    |
+| 1.7918        | 3.0   | 189  | 1.8428          | 0.1867 | 0.1053 | 0.1638 | 0.1734    |
+| 1.6358        | 4.0   | 252  | 1.8366          | 0.1873 | 0.1081 | 0.1664 | 0.1758    |
+| 1.4646        | 5.0   | 315  | 1.8587          | 0.1915 | 0.1075 | 0.1684 | 0.1786    |
+| 1.3943        | 6.0   | 378  | 1.8478          | 0.1824 | 0.1056 | 0.1619 | 0.1706    |
+| 1.2954        | 7.0   | 441  | 1.8752          | 0.1897 | 0.1079 | 0.1662 | 0.1764    |
+| 1.2544        | 8.0   | 504  | 1.8665          | 0.1884 | 0.1059 | 0.1664 | 0.1772    |
 
 
 ### Framework versions

model.safetensors

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runs/May26_22-28-05_01c46465b667/events.out.tfevents.1716762485.01c46465b667.229.0

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training_args.bin

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